The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-05-02"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "3427343 (up from 3343777 yesterday: 2.5 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "243808 (up from 238650 yesterday: 2.16 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 7.11



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1132539 29078 2.64 66369 1426 2.20 5.86
Spain 216582 3147 1.47 25100 557 2.27 11.59
Italy 209328 1900 0.92 28710 474 1.68 13.72
United Kingdom 183500 4815 2.69 28205 622 2.26 15.37
France 168518 1213 0.73 24763 135 0.55 14.69
Germany 164967 890 0.54 6812 76 1.13 4.13
Turkey 124375 1983 1.62 3336 78 2.39 2.68
Russia 124054 9623 8.41 1222 53 4.53 0.99
Brazil 97100 4898 5.31 6761 349 5.44 6.96
Iran 96448 802 0.84 6156 65 1.07 6.38
China 83959 0 0.00 4637 0 0.00 5.52
Canada 57926 1583 2.81 3684 147 4.16 6.36
Belgium 49517 485 0.99 7765 62 0.80 15.68
Peru 42534 2075 5.13 1200 76 6.76 2.82
Netherlands 40434 445 1.11 5003 94 1.91 12.37
India 39699 2442 6.55 1323 100 8.18 3.33
Switzerland 29817 112 0.38 1762 8 0.46 5.91
Ecuador 27464 1128 4.28 1371 308 28.97 4.99
Saudi Arabia 25459 1362 5.65 176 7 4.14 0.69
Portugal 25190 -161 -0.64 1023 16 1.59 4.06
Mexico 22088 1349 6.50 2061 89 4.51 9.33
Sweden 22082 562 2.61 2669 16 0.60 12.09
Ireland 21176 343 1.65 1286 21 1.66 6.07
Pakistan 19103 989 5.46 440 23 5.52 2.30
Chile 18435 1427 8.39 247 13 5.56 1.34
Singapore 17548 447 2.61 17 1 6.25 0.10
Israel 16185 84 0.52 229 4 1.78 1.41
Belarus 15828 911 6.11 97 4 4.30 0.61
Austria 15558 27 0.17 596 7 1.19 3.83
Qatar 14872 776 5.51 12 0 0.00 0.08
Japan 14571 266 1.86 474 19 4.18 3.25
United Arab Emirates 13599 561 4.30 119 8 7.21 0.88
Poland 13375 270 2.06 664 13 2.00 4.96
Romania 12732 165 1.31 771 27 3.63 6.06
Ukraine 11411 550 5.06 279 7 2.57 2.45
Indonesia 10843 292 2.77 831 31 3.88 7.66
Korea, South 10793 13 0.12 250 0 0.00 2.32
Denmark 9605 96 1.01 475 15 3.26 4.95
Serbia 9362 353 3.92 189 10 5.59 2.02
Philippines 8928 156 1.78 603 24 4.15 6.75
Bangladesh 8790 552 6.70 175 5 2.94 1.99
Norway 7809 26 0.33 211 1 0.48 2.70
Czechia 7755 18 0.23 245 5 2.08 3.16
Dominican Republic 7578 290 3.98 326 13 4.15 4.30
Colombia 7285 279 3.98 324 10 3.18 4.45
Panama 7090 370 5.51 197 5 2.60 2.78
Australia 6799 21 0.31 94 1 1.08 1.38
South Africa 6336 385 6.47 123 7 6.03 1.94
Egypt 6193 298 5.06 415 9 2.22 6.70
Malaysia 6176 105 1.73 103 0 0.00 1.67
Finland 5176 125 2.47 220 2 0.92 4.25
Morocco 4729 160 3.50 173 2 1.17 3.66
Argentina 4681 149 3.29 237 12 5.33 5.06
Kuwait 4619 242 5.53 33 3 10.00 0.71
Algeria 4295 141 3.39 459 6 1.32 10.69
Moldova 4052 72 1.81 124 2 1.64 3.06
Kazakhstan 3857 260 7.23 25 0 0.00 0.65
Luxembourg 3812 10 0.26 92 0 0.00 2.41
Bahrain 3284 114 3.60 8 0 0.00 0.24
Thailand 2966 6 0.20 54 0 0.00 1.82
Hungary 2942 79 2.76 335 12 3.72 11.39
Greece 2620 8 0.31 143 3 2.14 5.46
Oman 2483 36 1.47 12 1 9.09 0.48
Afghanistan 2469 134 5.74 72 4 5.88 2.92
Nigeria 2388 218 10.05 85 17 25.00 3.56
Armenia 2273 125 5.82 33 0 0.00 1.45
Iraq 2219 66 3.07 95 1 1.06 4.28
Ghana 2169 95 4.58 18 1 5.88 0.83
Uzbekistan 2118 32 1.53 9 0 0.00 0.42
Croatia 2088 3 0.14 77 2 2.67 3.69
Cameroon 2077 245 13.37 64 3 4.92 3.08
Azerbaijan 1894 40 2.16 25 0 0.00 1.32
Bosnia and Herzegovina 1839 58 3.26 72 2 2.86 3.92
Iceland 1798 0 0.00 10 0 0.00 0.56
Estonia 1699 5 0.30 53 1 1.92 3.12
Cuba 1611 74 4.81 66 2 3.12 4.10
Bulgaria 1594 39 2.51 72 4 5.88 4.52
Guinea 1586 49 3.19 7 0 0.00 0.44
North Macedonia 1506 12 0.80 82 1 1.23 5.44
New Zealand 1487 2 0.13 20 0 0.00 1.34
Slovenia 1439 5 0.35 94 2 2.17 6.53
Slovakia 1407 4 0.29 24 1 4.35 1.71
Lithuania 1406 7 0.50 46 1 2.22 3.27
Cote d’Ivoire 1362 29 2.18 15 0 0.00 1.10
Bolivia 1229 0 0.00 66 0 0.00 5.37
Senegal 1115 91 8.89 9 0 0.00 0.81
Djibouti 1112 15 1.37 2 0 0.00 0.18
Honduras 1010 206 25.62 76 1 1.33 7.52
Tunisia 1009 11 1.10 42 1 2.44 4.16

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 312977 4663 1.51 24198 159 0.66 7.73 16088.42 1243.89 1 in 62
New Jersey 123717 2527 2.09 7742 204 2.71 6.26 13928.66 871.63 1 in 72
Massachusetts 66263 1952 3.04 3846 130 3.50 5.80 9534.93 553.42 1 in 105
Illinois 58505 2450 4.37 2559 102 4.15 4.37 4616.94 201.94 1 in 217
California 53347 1321 2.54 2180 54 2.54 4.09 1350.14 55.17 1 in 741
Pennsylvania 50494 915 1.85 2695 60 2.28 5.34 3944.23 210.51 1 in 254
Michigan 43207 851 2.01 4021 155 4.01 9.31 4326.39 402.63 1 in 231
Florida 35463 735 2.12 1364 50 3.81 3.85 1651.15 63.51 1 in 606
Texas 30917 1225 4.13 863 23 2.74 2.79 1066.25 29.76 1 in 938
Connecticut 29287 523 1.82 2436 97 4.15 8.32 8214.49 683.25 1 in 122
Louisiana 29140 429 1.49 1993 23 1.17 6.84 6268.29 428.71 1 in 160
Georgia 28331 842 3.06 1177 8 0.68 4.15 2668.35 110.86 1 in 375
Maryland 24473 1001 4.26 1251 171 15.83 5.11 4048.01 206.92 1 in 247
Ohio 19335 592 3.16 1022 19 1.89 5.29 1654.11 87.43 1 in 605
Indiana 19295 665 3.57 1115 -60 -5.11 5.78 2866.07 165.62 1 in 349
Virginia 17738 836 4.95 617 36 6.20 3.48 2078.14 72.29 1 in 481
Colorado 16225 432 2.74 832 11 1.34 5.13 2817.46 144.48 1 in 355
Washington 15003 366 2.50 830 6 0.73 5.53 1970.22 109.00 1 in 508
Tennessee 12661 770 6.48 209 5 2.45 1.65 1852.87 30.59 1 in 540
North Carolina 11588 518 4.68 431 12 2.86 3.72 1104.87 41.09 1 in 905
Rhode Island 9289 327 3.65 296 17 6.09 3.19 8768.49 279.41 1 in 114
Iowa 8643 759 9.63 175 5 2.94 2.02 2739.40 55.47 1 in 365
Arizona 8364 395 4.96 330 0 0.00 3.95 1098.37 43.34 1 in 910
Missouri 8356 289 3.58 376 16 4.44 4.50 1361.48 61.26 1 in 734
Wisconsin 7660 346 4.73 334 7 2.14 4.36 1315.60 57.36 1 in 760
Alabama 7611 317 4.35 288 -1 -0.35 3.78 1552.26 58.74 1 in 644
Mississippi 7441 229 3.18 291 10 3.56 3.91 2500.21 97.78 1 in 400
South Carolina 6489 231 3.69 267 11 4.30 4.11 1260.31 51.86 1 in 793
Minnesota 6232 502 8.76 394 24 6.49 6.32 1105.04 69.86 1 in 905
Nevada 5389 141 2.69 255 9 3.66 4.73 1749.59 82.79 1 in 572
Nebraska 5317 309 6.17 73 0 0.00 1.37 2748.64 37.74 1 in 364
Delaware 5038 120 2.44 168 9 5.66 3.33 5173.74 172.53 1 in 193
Utah 4985 157 3.25 49 3 6.52 0.98 1554.92 15.28 1 in 643
Kansas 4885 251 5.42 142 2 1.43 2.91 1676.78 48.74 1 in 596
Kentucky 4879 -3 -0.06 248 2 0.81 5.08 1092.07 55.51 1 in 916
District of Columbia 4797 139 2.98 240 9 3.90 5.00 6797.03 340.06 1 in 147
Oklahoma 3851 103 2.75 238 8 3.48 6.18 973.22 60.15 1 in 1028
New Mexico 3732 219 6.23 138 7 5.34 3.70 1779.83 65.81 1 in 562
Arkansas 3372 35 1.05 72 8 12.50 2.14 1117.36 23.86 1 in 895
Oregon 2635 56 2.17 109 5 4.81 4.14 624.74 25.84 1 in 1601
South Dakota 2588 63 2.50 21 0 0.00 0.81 2925.42 23.74 1 in 342
New Hampshire 2429 119 5.15 84 3 3.70 3.46 1786.41 61.78 1 in 560
Idaho 2061 46 2.28 64 1 1.59 3.11 1150.07 35.71 1 in 870
Puerto Rico 1757 182 11.56 95 1 1.06 5.41 550.15 29.75 1 in 1818
West Virginia 1185 33 2.86 48 2 4.35 4.05 663.07 26.86 1 in 1508
Maine 1153 30 2.67 56 1 1.82 4.86 857.75 41.66 1 in 1166
North Dakota 1153 46 4.16 24 1 4.35 2.08 1513.00 31.49 1 in 661
Vermont 886 7 0.80 51 1 2.00 5.76 1419.90 81.73 1 in 704
Hawaii 620 1 0.16 16 0 0.00 2.58 437.89 11.30 1 in 2284
Wyoming 579 13 2.30 7 0 0.00 1.21 1000.42 12.09 1 in 1000
Montana 455 2 0.44 16 0 0.00 3.52 425.72 14.97 1 in 2349
Alaska 365 1 0.27 9 0 0.00 2.47 498.94 12.30 1 in 2004

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 959071 312977 32.63 49300.54
New Jersey 262312 123717 47.16 29532.36
Massachusetts 298994 66263 22.16 43023.80
Illinois 299896 58505 19.51 23666.37
California 686803 53347 7.77 17382.04
Pennsylvania 235376 50494 21.45 18385.89
Michigan 201709 43207 21.42 20197.45
Florida 416012 35463 8.52 19369.45
Texas 380648 30917 8.12 13127.66
Connecticut 100257 29287 29.21 28120.32
Louisiana 172858 29140 16.86 37183.41
Georgia 174800 28331 16.21 16463.51
Maryland 125522 24473 19.50 20762.26
Ohio 145819 19335 13.26 12474.78
Indiana 104141 19295 18.53 15469.05
Virginia 113202 17738 15.67 13262.46
Colorado 76949 16225 21.09 13362.13
Washington 198724 15003 7.55 26096.76
Tennessee 196276 12661 6.45 28723.99
North Carolina 139475 11588 8.31 13298.43
Rhode Island 69928 9289 13.28 66009.60
Iowa 46349 8643 18.65 14690.32
Arizona 77997 8364 10.72 10242.69
Missouri 82744 8356 10.10 13481.87
Wisconsin 83230 7660 9.20 14294.71
Alabama 92209 7611 8.25 18805.94
Mississippi 74475 7441 9.99 25023.95
South Carolina 61616 6489 10.53 11967.26
Minnesota 79007 6232 7.89 14009.25
Nevada 44387 5389 12.14 14410.63
Nebraska 29348 5317 18.12 15171.57
Delaware 23112 5038 21.80 23734.70
Utah 117804 4985 4.23 36745.33
Kansas 34942 4885 13.98 11993.90
Kentucky 57649 4879 8.46 12903.59
District of Columbia 22004 4797 21.80 31178.22
Oklahoma 63655 3851 6.05 16086.80
New Mexico 71118 3732 5.25 33916.93
Arkansas 51582 3372 6.54 17092.44
Oregon 60136 2635 4.38 14257.88
South Dakota 18091 2588 14.31 20449.69
New Hampshire 24349 2429 9.98 17907.48
Idaho 29490 2061 6.99 16455.88
Puerto Rico 11070 1757 15.87 3466.21
West Virginia 49146 1185 2.41 27499.70
Maine 20698 1153 5.57 15397.87
North Dakota 31547 1153 3.65 41396.89
Vermont 16591 886 5.34 26588.61
Hawaii 31985 620 1.94 22590.32
Wyoming 10029 579 5.77 17328.46
Montana 14635 455 3.11 13693.21
Alaska 21399 365 1.71 29251.79

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 12296 790 6.87 2000 16.27 9775 521 36 7.42 4.24
Gujarat 5054 333 7.05 896 17.73 3896 262 26 11.02 5.18
Delhi 4122 384 10.27 1256 30.47 2802 64 3 4.92 1.55
Madhya Pradesh 2788 73 2.69 622 22.31 2015 151 6 4.14 5.42
Rajasthan 2772 106 3.98 1242 44.81 1462 68 6 9.68 2.45
Tamil Nadu 2757 231 9.14 1341 48.64 1387 29 1 3.57 1.05
Uttar Pradesh 2487 159 6.83 698 28.07 1746 43 1 2.38 1.73
Andhra Pradesh 1525 62 4.24 441 28.92 1051 33 0 0.00 2.16
Telangana 1061 17 1.63 499 47.03 533 29 1 3.57 2.73
West Bengal 795 0 0.00 139 17.48 608 48 15 45.45 6.04
Punjab 772 187 31.97 112 14.51 640 20 0 0.00 2.59
Jammu and Kashmir 666 27 4.23 254 38.14 404 8 0 0.00 1.20
Karnataka 601 12 2.04 271 45.09 304 25 3 13.64 4.16
Kerala 500 2 0.40 400 80.00 96 4 0 0.00 0.80
Bihar 481 15 3.22 107 22.25 370 4 1 33.33 0.83
Haryana 376 19 5.32 242 64.36 129 5 1 25.00 1.33
Odisha 157 3 1.95 56 35.67 100 1 0 0.00 0.64
Jharkhand 115 2 1.77 22 19.13 90 3 0 0.00 2.61
Chandigarh 94 6 6.82 19 20.21 75 0 0 NaN 0.00
Uttarakhand 59 2 3.51 39 66.10 19 1 0 0.00 1.69
Assam 43 0 0.00 33 76.74 9 1 0 0.00 2.33
Chhattisgarh 43 0 0.00 36 83.72 7 0 0 NaN 0.00
Himachal Pradesh 40 0 0.00 33 82.50 2 2 0 0.00 5.00
Andaman and Nicobar Islands 33 0 0.00 26 78.79 7 0 0 NaN 0.00
Ladakh 23 1 4.55 17 73.91 6 0 0 NaN 0.00
Meghalaya 12 0 0.00 10 83.33 1 1 0 0.00 8.33
Puducherry 12 4 50.00 5 41.67 7 0 0 NaN 0.00
Goa 7 0 0.00 7 100.00 0 0 0 NaN 0.00
Tripura 4 2 100.00 2 50.00 2 0 0 NaN 0.00
Manipur 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Mizoram 1 0 0.00 0 0.00 1 0 0 NaN 0.00
Dadra and Nagar Haveli 0 0 NaN 0 NaN 0 0 0 NaN NaN
Daman and Diu 0 0 NaN 0 NaN 0 0 0 NaN NaN
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 403702 77002 533 0.70 19.07 6529 545 36667 14189 18.43
Piemonte 168479 27179 495 1.86 16.13 2550 178 15719 3126 11.50
Emilia-Romagna 192135 25850 206 0.80 13.45 2033 196 9323 3614 13.98
Veneto 370978 18224 126 0.70 4.91 970 108 7431 1502 8.24
Toscana 148223 9525 80 0.85 6.43 519 118 5365 863 9.06
Liguria 53202 8312 186 2.29 15.62 647 68 3598 1195 14.38
Lazio 147078 6756 84 1.26 4.59 1370 96 4452 497 7.36
Marche 62834 6298 23 0.37 10.02 399 46 3205 916 14.54
Campania 83592 4459 15 0.34 5.33 470 27 2721 362 8.12
P.A. Trento 39579 4181 49 1.19 10.56 138 19 1282 425 10.17
Puglia 65370 4133 34 0.83 6.32 416 39 2954 422 10.21
Sicilia 84352 3213 19 0.59 3.81 396 30 2186 240 7.47
Friuli Venezia Giulia 73855 3059 18 0.59 4.14 131 5 1109 295 9.64
Abruzzo 39916 2964 16 0.54 7.43 303 16 1879 327 11.03
P.A. Bolzano 43804 2535 7 0.28 5.79 113 10 703 279 11.01
Umbria 38072 1394 1 0.07 3.66 60 13 196 68 4.88
Sardegna 26990 1315 2 0.15 4.87 86 13 730 119 9.05
Valle d’Aosta 7951 1136 3 0.26 14.29 70 3 98 137 12.06
Calabria 37928 1112 0 0.00 2.93 100 4 713 88 7.91
Basilicata 13722 380 2 0.53 2.77 48 4 191 25 6.58
Molise 7075 301 1 0.33 4.25 9 1 182 21 6.98

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 29664 1008 3.52 2136 114 5.64 7.20 3474.48 250.19 1 in 288
Ontario 18321 441 2.47 1292 27 2.13 7.05 1245.32 87.82 1 in 803
Alberta 5670 97 1.74 94 2 2.17 1.66 1284.80 21.30 1 in 778
British Columbia 2171 26 1.21 114 2 1.79 5.25 424.78 22.31 1 in 2354
Nova Scotia 963 4 0.42 31 2 6.90 3.22 985.21 31.71 1 in 1015
Saskatchewan 421 6 1.45 7 0 0.00 1.66 356.28 5.92 1 in 2807
Manitoba 282 1 0.36 6 0 0.00 2.13 204.72 4.36 1 in 4885
Newfoundland and Labrador 259 0 0.00 3 0 0.00 1.16 496.77 5.75 1 in 2013
New Brunswick 118 0 0.00 0 0 NaN 0.00 151.28 0.00 1 in 6610
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68128 4512 6.62
Guangdong 1588 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1039 4 0.38
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 944 13 1.38
Jiangxi 937 1 0.11
Shandong 787 7 0.89
Jiangsu 653 0 0.00
Shanghai 652 7 1.07
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 356 1 0.28
Hebei 328 6 1.83
Shaanxi 306 3 0.98
Guangxi 254 2 0.79
Inner Mongolia 201 1 0.50
Shanxi 197 0 0.00
Tianjin 190 3 1.58
Yunnan 185 2 1.08
Hainan 168 6 3.57
Guizhou 147 2 1.36
Liaoning 146 2 1.37
Gansu 139 2 1.44
Jilin 112 1 0.89
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 3461.31 202.84 1 in 289
Spain 4641.71 537.93 1 in 215
Italy 3461.11 474.70 1 in 289
United Kingdom 2761.89 424.52 1 in 362
France 2515.57 369.65 1 in 398
Germany 1992.60 82.28 1 in 502
Turkey 1539.10 41.28 1 in 650
Russia 858.51 8.46 1 in 1165
Brazil 463.93 32.30 1 in 2156
Iran 1188.37 75.85 1 in 841
China 60.58 3.35 1 in 16508
Canada 1540.99 98.00 1 in 649
Belgium 4343.60 681.14 1 in 230
Peru 1322.16 37.30 1 in 756
Netherlands 2353.55 291.21 1 in 425
India 29.65 0.99 1 in 33729
Switzerland 3479.23 205.60 1 in 287
Ecuador 1652.47 82.49 1 in 605
Saudi Arabia 772.89 5.34 1 in 1294
Portugal 2448.01 99.42 1 in 408

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 172354 18491 10.73
Cook Illinois 40227 1743 4.33
Nassau New York 36519 1745 4.78
Suffolk New York 34478 1227 3.56
Westchester New York 29626 1067 3.60
Los Angeles California 24894 1209 4.86
Wayne Michigan 17106 1884 11.01
Bergen New Jersey 15974 1202 7.52
Hudson New Jersey 15401 834 5.42
Philadelphia Pennsylvania 15137 638 4.21
Middlesex Massachusetts 15048 923 6.13
Essex New Jersey 14248 1265 8.88
Suffolk Massachusetts 13606 569 4.18
Passaic New Jersey 13082 624 4.77
Union New Jersey 12996 731 5.62
Miami-Dade Florida 12632 367 2.91
Middlesex New Jersey 12213 618 5.06
Rockland New York 11945 519 4.34
Fairfield Connecticut 11801 865 7.33
Essex Massachusetts 9362 484 5.17
Orange New York 8910 329 3.69
New Haven Connecticut 8024 565 7.04
Oakland Michigan 7475 745 9.97
Prince George’s Maryland 7041 269 3.82
Providence Rhode Island 6822 0 0.00
Harris Texas 6708 129 1.92
Ocean New Jersey 6692 426 6.37
Orleans Louisiana 6524 439 6.73
Jefferson Louisiana 6362 369 5.80
King Washington 6351 457 7.20
Monmouth New Jersey 6198 372 6.00
Norfolk Massachusetts 6187 535 8.65
Worcester Massachusetts 6129 292 4.76
Hartford Connecticut 6112 741 12.12
Marion Indiana 5983 357 5.97
Macomb Michigan 5666 625 11.03
Plymouth Massachusetts 5409 312 5.77
Morris New Jersey 5406 440 8.14
Broward Florida 5257 204 3.88
Montgomery Maryland 4919 282 5.73
District of Columbia District of Columbia 4797 240 5.00
Montgomery Pennsylvania 4487 369 8.22
Maricopa Arizona 4421 147 3.33
Mercer New Jersey 4271 252 5.90
Clark Nevada 4225 215 5.09
Riverside California 4079 156 3.82
Fairfax Virginia 4046 153 3.78
Hampden Massachusetts 4003 387 9.67
Delaware Pennsylvania 3999 255 6.38
Lake Illinois 3975 141 3.55

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc